Investigating text power in predicting semantic similarity
<p>This article presents an empirical evaluation to investigate the distributional semantic power of abstract, body and full-text, as different text levels, in predicting the semantic similarity using a collection of open access articles from PubMed. The semantic similarity is measured based o...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Regional Information Center for Science and Technology (RICeST)
2019-01-01
|
Series: | International Journal of Information Science and Management |
Subjects: | |
Online Access: | https://ijism.ricest.ac.ir/index.php/ijism/article/view/1297 |